Senior Software Engineer (Cloud/Python), GCORCTechnology

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Passion for solving complex problems and delivering maintainable, production-quality software
• 5+ years of experience in Python and relational databases, preferably PostgreSQL
• Experience in DevOps and CI/CD, ideally with GitLab pipelines
• Knowledge of Azure Functions or similar serverless, event-driven platforms, including triggers, bindings and scaling
• Knowledge of Azure Service Bus or similar messaging technology, including queues, topics, publish/subscribe and error handling
• Skills in data-flow engineering across ingestion, transformation and orchestration
• Expertise in AI-assisted development, ideally with GitHub Copilot, agents, reusable skills and effective prompting
• Experience with full-text search engines, including designing indexes and implementing data indexing and search using Azure AI Search
• English proficiency at B2 level or higher

Nice to have:

• Familiarity with Azure Data Factory or similar tools
• Experience in web UI development with React

• Build cloud-native Azure solutions for greenfield projects and existing applications
• Adopt emerging technologies, reuse strategic platforms and standards, and make sustainable technical decisions
• Deliver secure, reliable and compliant solutions that meet functional and non-functional requirements
• Use GitHub Copilot, agents and reusable skills across delivery, with strong quality, security and human oversight
• Introduce emerging practices and help build capability across the product family
• Share expertise, support hiring and contribute to the engineering culture and communities

Working from the client's office is required 3 days per week.